Fully Convolutional Networks for Semantic Segmentation

Convolutional networks are powerful visual models that yield hierarchies of features. We show that convolutional networks by themselves, trained end-to-end, pixels-to-pixels, improve on the previous best result in semantic segmentation. Our key insight is to build "fully convolutional" net...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 39(2017), 4 vom: 01. Apr., Seite 640-651
1. Verfasser:	Shelhamer, Evan (VerfasserIn)
Weitere Verfasser:	Long, Jonathan, Darrell, Trevor
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2017
Zugriff auf das übergeordnete Werk:	IEEE transactions on pattern analysis and machine intelligence
Schlagworte:	Journal Article Research Support, U.S. Gov't, Non-P.H.S. Research Support, Non-U.S. Gov't